Platform Engineer (AI)

TL;DR

Platform Engineer (AI): Building and maintaining robust, secure, and scalable cloud infrastructure for applied artificial intelligence workflows with an accent on cloud-native technologies and machine learning operations. Focus on designing infrastructure-as-code, enabling data science teams through reusable libraries, and ensuring high-performance deployment pipelines.

Location: Must be based in or able to work from London, UK (Hybrid)

Company

hirify.global is an AI company that builds and deploys responsible, human-centric AI solutions to transform performance for global customers across various sectors including life sciences and healthcare.

What you will do

• Design, build, and deploy secure and scalable cloud infrastructure for AI and ML workflows.
• Partner with technical and non-technical stakeholders to scope and implement complex projects.
• Enable Machine Learning Engineers and Data Scientists by establishing best practices and reusable code repositories.
• Identify and recommend new cloud infrastructure strategies to solve customer challenges.
• Develop and maintain company-wide infrastructure-as-code libraries.
• Research and integrate open-source technologies to enhance infrastructure capabilities.

Requirements

• Must be based in or able to work from London, UK
• Deep experience with both Azure and AWS cloud platforms.
• Proficiency in Infrastructure as Code, specifically Terraform.
• Strong experience building and deploying containerized solutions using Docker and Kubernetes.
• Solid understanding of CI/CD and GitOps practices.
• Proficient knowledge of Networking and Cloud Security.
• Experience working directly with clients and stakeholders on technical planning and scoping.

Culture & Benefits

• Unlimited annual leave policy.
• Private healthcare and dental coverage.
• Enhanced parental leave and family-friendly flexibility.
• Sanctus coaching for mental wellbeing.
• Hybrid working environment.

Hiring process

• Talent Team Screen (30 minutes)
• Pair Programming Interview (90 minutes)
• System Design Interview (90 minutes)
• Commercial Interview (60 minutes)